





import numpy as np
from sklearn.datasets import fetch_california_housing
from sklearn.metrics import mean_absolute_error, mean_squared_error
from sklearn.model_selection import train_test_split
from xgboost import XGBRegressor






def lowerCamelCase__       (				snake_case_      :    Dict			) ->							tuple:
   return (data["data"], data["target"])






def lowerCamelCase__       (				snake_case_      :    Dict			, snake_case_      :    Dict			, snake_case_      :    Tuple			) ->							np.ndarray:
   __snake_case							=  XGBRegressor(verbosity=0			, random_state=42			)
   xgb.fit(a__			, a__			)
   # Predict target for test data
   __snake_case							=  xgb.predict(a__			)
   __snake_case							=  predictions.reshape(len(a__			)			, 1			)
   return predictions






def lowerCamelCase__       (				) ->							None:
   __snake_case							=  fetch_california_housing()
   __snake_case			,      __snake_case							=  data_handling(a__			)
   __snake_case			,      __snake_case			,      __snake_case			,      __snake_case							=  train_test_split(
       a__			, a__			, test_size=0.25			, random_state=1			)
   __snake_case							=  xgboost(a__			, a__			, a__			)
   # Error printing
   print(f"""Mean Absolute Error : {mean_absolute_error(a__			, a__			)}"""			)
   print(f"""Mean Square Error  : {mean_squared_error(a__			, a__			)}"""			)


if __name__ == "__main__":
    import doctest

    doctest.testmod(verbose=True)
    main()


from math import isqrt, loga


def 				lowerCAmelCase__       (			a__ )      ->list[int]:




  '''simple docstring'''

  _UpperCamelCase           =    [True] * max_number
  for i in range(2    ,     isqrt(max_number - 1 ) + 1 ):
    if is_prime[i]:
      for j in range(i**2    ,     a__    ,     a__ ):
        _UpperCamelCase           =    False

  return [i for i in range(2    ,     a__ ) if is_prime[i]]


def 				lowerCAmelCase__       (			a__ = 800_800    ,     a__ = 800_800 )      ->int:




  '''simple docstring'''

  _UpperCamelCase           =    degree * loga(a__ )
  _UpperCamelCase           =    int(a__ )
  _UpperCamelCase           =    calculate_prime_numbers(a__ )

  _UpperCamelCase           =    0
  _UpperCamelCase           =    0
  _UpperCamelCase           =    len(a__ ) - 1
  while left < right:
    while (
        prime_numbers[right] * loga(prime_numbers[left] )
        + prime_numbers[left] * loga(prime_numbers[right] )
        > upper_bound
    ):
      right -= 1
    hybrid_integers_count += right - left
    left += 1

  return hybrid_integers_count


if __name__ == "__main__":
   print(F"{solution() = }")




